Reporting on campaign performance is one of the most important jobs a marketer does. It cuts out guesswork or tired tactics that might not be working anymore, and the data captured in campaign reporting can show actionable insights on who your audience is, what they’re looking for, how they’re connecting (or not) with your brand, as well as lots of other vital details.

With so many platform options and more data available than ever, you have a wealth of options to choose the campaign reporting platform that works for you and your business’ goals. Here’s a quick view of what’s available for performance marketers, with more details below.

11 Best Performance Platforms for Campaign Reporting, Compared

1. Realize

Why it’s essential: Realize is an AI-powered performance platform that provides transparent, real-time reporting designed to bridge the gap between creative execution and bottom-line business outcomes. It’s used by performance marketers to gain a holistic view of their open-web campaigns, moving beyond vanity metrics to focus on deterministic data such as verified conversions, cost-per-acquisition (CPA), and return on ad spend (ROAS).

Realize users can monitor how different creative variations, audience segments, and publisher placements are contributing to your funnel. The platform is used to visualize complex data through intuitive dashboards and automated reports, allowing teams to quickly identify top-performing assets and make data-backed decisions to scale or pivot their strategies instantly.

Showcased features: 

• Pacing Health Score provides a real-time visual indicator within the dashboard to show exactly how your budget is being utilized against your goals.
• Performance Simulator uses historical reporting data to forecast future campaign outcomes, allowing you to model the impact of budget changes before implementation.
• Delivers customized performance data directly to your inbox on a daily or weekly basis in CSV format for easy integration with external tools.
• Offers robust reporting on both web-based and server-to-server events to capture deep-funnel conversions that occur offline or in CRMs.
• Provides transparent reporting on which sites or creatives were automatically blocked by the algorithm to ensure you see exactly how your budget was protected.
• Surfaces AI-driven insights directly alongside reporting metrics to suggest immediate actions for improving campaign efficiency.

Best for: Realize is best for data-driven performance teams in sectors like e-commerce, finance, and travel that require granular visibility into the efficiency of their media spend. It’s particularly helpful for brands that need to report on complex, multi-step conversion funnels and want an automated way to track which specific content environments are driving the highest quality leads.

Pricing model: Performance-based; campaigns billed on CPC basis, or CPM for programmatic.

Pros: 

• Shows exactly which publisher sites are delivering your conversions, ensuring full visibility into your media placements.
• Integrates reporting with proactive recommendations, so you spend less time analyzing data and more time optimizing.
• Capably tracks and reports on long consideration cycles through advanced server-to-server integration.

Cons:

• Automated reports are currently restricted to CSV files, which may require manual work for those preferring PDF or Slide formats.
• Organizations that rely on real-time data streaming into their own custom BI tools may find the standard export options limiting.
• Some advanced reporting visualizations, like those in the Performance Simulator, require a minimum volume of conversion data to populate accurately.

2. Cometly

Why it’s essential: Cometly can serve as a corrective function for ad platforms, fixing attribution gaps that often happen when several platforms claim the same attribution or encounter browser blocking. It uses server-side tracking to capture conversion data, and feeds more accurate data back to an ad platform to improve targeting for new customers.

Showcased features: 

• AI-powered dashboard provides active recommendations for ad sets.
• Shows multi-touch attribution and sends enriched conversion data back to Meta and Google to reduce CPA.

Best for: Direct-to-consumer (D2C) brands spending a lot on social ads; teams that advertise on multiple channels and need to prove return on investment (ROI); and marketers who don’t trust conversion numbers from Meta or Google.

Pricing model: Pricing scales based on monthly ad spend volume, with monthly cost starting around $199 for smaller spenders.

Pros: 

• Very useful for tracking conversions, particularly in a post-iOS 14 market.
• Provides actions to take for ad performance improvement.
• Fast, and offers a unified view.

Cons: 

• Hard to find specific pricing numbers, which is challenging for smaller businesses.
• Focuses heavily on paid ads.

3. Agency Analytics

Why it’s essential: Agency Analytics is an all-in-one client hub, bringing search engine optimization (SEO), PPC, and social media tools into one interface, with a focus on showing customer value through portals and automated reporting.

Showcased features: 

• Lets users add their own branding.
• Includes built-in SEO tools, plus automated KPI tracking and alerting.
• Ideal for marketers who need to present to clients or stakeholders frequently, as the results are very polished.

Best for: Agencies or teams managing clients that want to standardize and scale reporting processes, and full-service marketers that want all results in one dashboard.

Pricing model: Pricing based on how many client campaigns are running; it starts around $59 per month and goes up to $349 per month, with more features at each tier. Discounting is available.

Pros: 

• Easy to set up and build reports.
• Built-in SEO tools.
• Strong support, and the option to give clients their own dashboard login.

Cons: 

• Costs can quickly grow because of the per-client model.
• Some features are locked for the lower-cost plans.
• Easy to use, but there aren’t many customization options.

4. Databox

Why it’s essential: Databox offers holistic performance tracking, pulling data from platforms and devices for a 360-degree company view. Plus, its mobile app is well-developed, and the platform focuses on trackable key performance indicators (KPIs).

Showcased features: 

• Set targets for any metric.
• Tracks progress in real time.
• Lets users anonymously compare performance metrics against competitors.
• Allows users to develop custom KPIs by combining data from different sources.

Best for: Performance marketers who have to align with revenue and sales pipeline data, leaders who want a high-level business view quickly, and any team that wants to see marketing and sales metrics in the same interactive portal.

Pricing model: Free plan includes three data sources and daily data refreshes, while tiered subscriptions start at $47 per month and go up to $799 per month. The cost scales according to how many data sources you connect.

Pros: 

• Easy alerting, plus scorecard and report creation.
• Modern, intuitive interface.
• Top-notch mobile experience.
• Allows comparison against competitors and provides visualizations of actual vs. target data.

Cons:

• Dashboard design is somewhat rigid.
• Users have to pay more to get hourly or 15-minute data syncing; otherwise it’s just once a day.

5. Google Analytics (GA4)

Why it’s essential: GA4 is an Industry standard for understanding how users find and use your site or app.

Showcased features:

• Machine learning (ML) and data modeling fill gaps created by cookie sunsetting in a secure way.
• Predicts future behavior in GA4, and tracks common interactions automatically without additional code or setup.

Best for: Google ecosystem users, companies with both a website and mobile app.

Pricing model: Most consumers can use Google Analytics for free, with some limits on data retention and number of custom metrics. The enterprise tier, GA360, is usage-based, starting around $50,000 per year.

Pros:

• Widely used, well-established tool.
• Can offer a lot of detail, particularly for Google Ads users.
• The free version offers lots of capabilities.
• Cross-device tracking and near-real-time metrics are very useful.

Cons: 

• Steep learning curve, with expertise needed to get the full functionality of GA4, though there are free courses and certifications offered through Google.

6. Klipfolio

Why it’s essential: Klipfolio offers many customization options, allowing users to define a metric once and then use it across dashboards. Plus, it uses real-time visualization to show marketing performance minute by minute.

Showcased features: 

• Low-code Editor transforms raw data into custom visualizations.
• Allows users to store historical performance data to view trends over years.
• Makes it easy to join data from various platforms, and layer two sources to see correlations.

Best for: Technical performance marketers who want more control over what they build, teams without big budgets who want sophisticated data modeling, and teams with unique KPIs.

Pricing model: Free version is good for up to two users, then paid tiers range from $90 to $800 per month, with improved refresh rates, data limits, and white-labeling available the more you pay.

Pros: 

• Lots of flexibility in building calculations.
• Good price for the features.
• Permanent data storage to protect from API changes or expirations.

Cons:

• Steep learning curve for the formula language.
• Can be more time-consuming, since there’s a lot of customization available.

7. Looker Studio (formerly Google Data Studio)

Why it’s essential: This platform turns raw data from disparate sources into visual dashboards and makes it available to non-technical users via live sharing.

Showcased features: 

• More than 800 data connectors to Google and other platforms available.
• Users can join up to five sources in one chart.
• Google users will find reports easy to share.
• Simple creation of automated, real-time updated client reports.

Best for: With its low price point, Looker Studio is accessible for small businesses.

Pricing model: Free version includes core features, while Looker Studio Pro is $9 per user a month. Partner connectors may require a separate monthly subscription.

Pros: 

• Very easy to build dashboards without expertise.
• Web-based.
• Includes hundreds of free templates.

Cons: 

• Dashboards can be slow with large datasets.
• Reports for the free tier are tied to individuals.
• Support in the free version is only on community forums.

8. Power BI

Why it’s essential: Power BI is a general-purpose business intelligence platform, so it can process huge amounts of data quickly, and analyze complex data beyond what a dashboard can do. It includes an Extract, Transform, Load (ETL) tool to clean and merge data before using it.

Showcased features:

• Support for natural language questions, with AI-generated charts in response.
• Specialized charts that use ML to show which variables are driving conversions.

Best for: Those using Microsoft tools already; marketers who are technical or have data analysis expertise; and big enterprises combining marketing and internal data frequently.

Pricing model: Power BI Desktop is free, with no limit on the number of reports, but no sharing capabilities. Power BI Pro is $10 per user per month and the Premium option is $20 per user per month, with more functionality at each tier.

Pros: 

• Lots of features for the cost.
• Sophisticated customization options.
• Easy integration with Excel and other Microsoft tools.

Cons: 

• Steep learning curve to get the most out of Power BI.
• No native connectors for ad platforms.

9. Supermetrics

Why it’s essential: Supermetrics is a data pipeline automation leader, eliminating the need for manual imports and pulling data in from sources like LinkedIn or Meta Ads for de-siloed data insights and reporting.

Showcased features: 

• Offers 150+ native connectors to ad platforms, and many more.
• Provides options on where to send data.
• Enables custom calculations and automated refreshes.

Best for: This is a solid tool for performance marketers running ads across five or more platforms, and teams that need to scale report creation without hiring a data engineer.

Pricing model: Tiered pricing goes from $29 to $399 per month, or the per-destination model charges based on where you’re sending data.

Pros: 

• Massive integration library.
• No code required
• Great templates.
• Reliable, stable connectors vs. less costly competitors.

Cons: 

• Costs can increase quickly.
• No visualization interface, so you’ll need another tool to view data.

10. Swydo

Why it’s essential: Swydo is great for efficiency, since it automates workflows, going beyond dashboards to actually get the data, build the report, and email a PDF. There are also proactive monitoring features.

Showcased features:

• You can merge up to five ad platforms’ data for particular data points, like total ad spend.
• The platform constantly monitors API connections.

Best for: Great for PPC specialists managing large ad budgets, and good for teams that want to scale beyond a free product. Plus, Swydo has an unlimited users policy.

Pricing model: Volume-based model, so users pay by how much data they use, and everyone can access the same features. Base plan starts at $69 per month.

Pros: 

• No charges for extra users or dashboards.
• Pricing is predictable and transparent.
• Support is strong.
• The health check feature ensures that no connected data goes down.

Cons: 

• Less flexible for layout customization.
• Smaller integration library of about 35 native connectors.
• Users have to manually remove old data sources, or you’ll be billed accordingly.

11. TapClicks

Why it’s essential: This platform is built for massive scale, with thousands of users and data streams, and is used by large and multi-location companies. Beyond reporting, TapClicks includes order entry and workflow management, and can incorporate offline data like Connected TV (CTV) or out-of-home (OOH).

Showcased features: 

• Smart Connector tool offers thousands of data sources to pull from.
• Visualization engine supports data grouping for visual reports.
• Can send automated alerts for over- or underspending.
• Compares with competitors to see what they’re publishing and spending.

Best for: Any company managing a massive budget with lots of clients, such as national brands with local franchises and media companies with omnichannel results. This tool can serve as a global command center.

Pricing model: Premium pricing is normally based on the number of users, the number of client records, and which module (reporting, orders, workflow, etc.) is needed. Budget for high hundreds or low thousands of dollars per month for this platform.

Pros: 

• End-to-end platform can handle the whole workflow from sales to reporting.
• Brings data depth from proprietary or niche sources.
• Creates clear summaries, even from complex data.

Cons:

• Setup is complex and more technical than other options.
• User interface (UI) can be overwhelming for a smaller team.
• Support may be more complicated and require engineering input.

Understanding Campaign Reporting for Performance Advertisers

What Is Campaign Reporting for Performance Marketing?

For performance marketing teams, campaign reporting refers to the work of tracking, analyzing, and visualizing data to see how effective a campaign has been. Marketers have to gauge performance against specific KPIs that align to business goals. Campaign reporting can show areas of success as well as opportunities to improve. Continuous reporting and iterating are essential for a performance marketing team to get the most out of their budget and engage audiences.

Performance marketers ultimately have to show how their efforts are contributing to revenue, so campaign reporting is an always-on function. A report might compare click-through rates (CTR) across paid search channels to show which is performing best, so a marketer can reallocate budget accordingly. Every company’s campaign reports will reflect which channels matter most to them.

What Should a Performance Marketing Report Include?

A performance marketing report should include analysis along with data so that it isn’t just surface-level. At minimum, the report should include:

• Executive summary: A high-level overview of results with broad insights or recommendations.
• Metrics or KPIs: Explain which KPIs are in use and why.
• Channel data: show performance across specific channels to see highs and lows, with visualizations.
• Trends analysis: Discuss why numbers changed or stayed stagnant to show trends over time, also with visualizations.
• Next steps: Recommend optimizations, budget adjustments, or new strategies or tactics to explore.

Key Metrics for Performance Advertising Campaigns

Performance advertising metrics typically fall into these categories:

• Revenue metrics: ROAS, ROI.
• Cost metrics: CPA, CPC, CPM.
• Conversion metrics: Conversion rate, total leads, landing page conversion rate.
• Engagement and traffic: CTR, impressions, page views, scroll depth, and other session data.

Automating Performance Advertising Reports

Performance advertising reports may have been simpler before walled gardens and the open web added more complexity to the assessments. Automating reports can save performance marketers a lot of time when they’re gathering campaign data from multiple sources. Automation can help eliminate manual spreadsheet exports and reconcile data quickly, and set up integrations and connectors to avoid any manual data entry or lookups.

A typical approach to automating reporting might look like this:

• Define the KPIs/metrics.
• Integrate data sources into your preferred tool.
• Standardize terms and naming across all platforms.
• Schedule delivery or live dashboard update times.
• Use AI alerts, if available, to see any performance anomalies in real time.

Key Takeaways

Campaign reporting should be complete, accurate, and frequently updated or published by performance platforms. Performance marketers can use these reports as a collaboration tool, as well as a gauge of how well their ad campaigns are working for their business. Some strong performance platforms are available for campaign reporting, so advertisers should carefully consider their needs, as well as budget and future possibilities, before adopting one.

Frequently Asked Questions (FAQs)

What distinguishes a reporting platform from analytics tools?

A reporting platform shows historic data from a particular time period, with a particular set of parameters. It uses visualization, whether that’s a chart, graph, heatmap, or other option, to show what happened. Analytics tools, meanwhile, explore data to explain why something happened, such as a dip in page views or conversion rates. Reporting platforms are geared toward informing users through pre-built reports or dashboards. Analytics tools are typically more complex and can interpret large data sets to improve performance.

Should I use an all‑in‑one reporting tool or connect multiple tools (e.g., Supermetrics + Power BI)?

It depends on your business’ size, goals, budget, staff, and number of data sources. An all-in-one tool may work well for a smaller or startup business that needs a quick solution, and doesn’t have technical staff or many data sources. Consider connecting multiple tools if you need complex data combinations, big datasets, and in-house analytical capabilities.

How do these platforms help with attribution measurement?

Performance marketers need to understand which tactics and channels are best for lead generation and revenue, so accurate attribution is essential. Attribution platforms aggregate data across channels to show the full customer journey. These platforms might use server-side tracking, pixels, AI, and multi-touch modeling to show which touchpoints are working. They also aggregate data from multiple sources for a more complete picture.